code: def step(self, *args, pl_module=None):
      pl_module.check_grads_clipped()
      return super().step(*args)
  
imports: import os
  import re
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.plugins import MixedPrecision
  from torch import Tensor
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 1 for calling the TestClippingOptimizer obj's underlying member method code with example usage: obj.step() and returns: super